DocumentCode :
2013849
Title :
A Multi-Agent System for Hand-drawn Diagram Recognition
Author :
Casella, Giovanni ; Deufemia, Vincenzo ; Mascardi, Viviana
Author_Institution :
Univ. di Genova, Genova
Volume :
2
fYear :
2007
fDate :
23-26 Sept. 2007
Firstpage :
739
Lastpage :
743
Abstract :
In this paper we present AgentSketch, an agent- based system for on-line recognition of hand-drawn diagrams. Agents are used for managing the activity of symbol recognizers and for providing efficient interpretations of the sketch to the user thanks to the use of contextual information for ambiguity resolution. The system can be applied to a variety of domains by providing recognizers of the symbols in that domain. A first experimental evaluation has been performed on the domain of UML use case diagrams to verify the effectiveness of the proposed approach.
Keywords :
image recognition; multi-agent systems; AgentSketch; ambiguity resolution; contextual information; hand-drawn diagram recognition; hand-drawn diagrams; multiagent system; online recognition; symbol recognizer; Collaboration; Data preprocessing; Engines; Feedback; Graphics; Multiagent systems; Performance evaluation; Shape; Unified modeling language; User interfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
Conference_Location :
Parana
ISSN :
1520-5363
Print_ISBN :
978-0-7695-2822-9
Type :
conf
DOI :
10.1109/ICDAR.2007.4377013
Filename :
4377013
Link To Document :
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